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Remote Sensing for Environment and Sustainability Lab

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Research | People | Projects | Collaborations | Teaching | Publications | Contacts

Research

The Remote sensIng for envirOnment and Sustainability (RIOS) laboratory is headed by Dr. G. Moser at the Savona Campus of the University of Genoa and framed within the Methods and Systems for Signal Processing and Recognition operational unit of the Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture (DITEN).
The research activity of the lab focuses on the development of advanced pattern recognition and image analysis methods for information extraction from satellite or aerial remote sensing data, in applications to environment, sustainability, and renewable energies.
The main methodological research topics are:

Technology transfer is also a primary goal. The developed algorithms are designed so that they are easy to use at the end-user level, in spite of the complexity of the image processing and pattern recognition methodologies behind. Strong focus is devoted to accuracy, reliability, computational efficiency, and compliance with the requirements of real-world applications.

People

Gabriele Moser

Gabriele Moser

Associate Professor of Telecommunications
RIOS Lab Head
gabriele.moser@unige.it

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Gabriele Moser received the Laurea (M.Sc. equivalent) degree in telecommunications engineering and the Ph.D. degree in space sciences and engineering from the University of Genoa, Genoa, Italy, in 2001 and 2005, respectively. Since 2014, he has been an Associate Professor of Telecommunications with the University of Genoa. His research activity is focused on pattern recognition and image processing methodologies for remote sensing and energy applications. He is author or co-author or more than 140 papers in international scientific journals, conference proceedings, and edited books. Since 2001, he has been cooperated with the Image Processing and Pattern Recognition for Remote Sensing (IPRS) Lab, University of Genoa. He has been the head of the RIOS Lab since 2013.
In 2004, he was a Visiting Student with the Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France, Ariana research team. In 2016, he was Visiting Professor at the Institut National Polytechnique de Toulouse, DYNAFOR Lab, France. He has been an External Collaborator at INRIA, Ayin research team, since 2012.
He has been an Area Editor of Pattern Recognition Letters (PRL) since 2015, and an Associate Editor of the IEEE Geoscience and Remote Sensing Letters since 2008. He was an Associate Editor of PRL from 2011 to 2015, and a Guest Editor of the 2015 special issue of the IEEE Geoscience and Remote Sensing Magazine.
He has been coordinating the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society, as Chair from 2013 to 2015 and as Co-Chair since 2015. He was Publication Co-Chair and Theme Coordinator of all invited sessions of the 2015 IEEE International Geoscience and Remote Sensing Symposium. He was Technical Program Co-Chair of the IEEE/ISPRS "EarthVision 2015 - Looking from above: When Earth observation meets vision" workshop.
He received the Best Paper Award at the 2010 IEEE Workshop on Hyperspectral Image and Signal Processing. He is a Senior Member of the IEEE.


Sebastiano Serpico

Sebastiano B. Serpico

Full Professor of Telecommunications
sebastiano.serpico@unige.it

Sebastiano B. Serpico received the Laurea (M.S.) degree in electronic engineering and the Ph.D. degree in telecommunications from the University of Genoa, Italy. He is currently a Full professor of Telecommunications with the Polytechnic School of the University of Genoa. He is also the Head of the IPRS Lab at DITEN. His current research interests include pattern recognition for remote sensing images and biomedical images.
He is also the Chairman of the Institute of Advanced Studies in Information and Communication Technologies. He has been the Project Manager of numerous research projects and an Evaluator of project proposals for various programs of the European Union, the Italian Space Agency, and the Italian Ministry of Education and Research. He has authored or coauthored over 200 scientific articles published in journals and conference proceedings. He received the Best Paper Award at the 2010 IEEE Workshop on Hyperspectral Image and Signal Processing. He is an Associate Editor of the International Journal IEEE Transactions on Geoscience and Remote Sensing (TGRS). He was a Guest Editor of two special issues of TGARS regarding the analysis of hyperspectral image data (July 2001 issue) and recent advances in techniques for analysis of remotely sensed data (March 2005), and of a special issue of the Proceedings of the IEEE on remote sensing of natural disasters. From 1998 to 2002, he was the Chairman of the SPIE/EUROPTO series of conferences on signal and image processing for remote sensing. He was the Co-Chair of the IEEE International Geoscience and Remote Sensing Symposium in 2015 (Milan, Italy, 2015). He is a Fellow of the IEEE.


Andrea De Giorgi

Andrea De Giorgi

Ph.D. Student
andrea.degiorgi@edu.unige.it

Andrea De Giorgi received the M.Sc. degree in telecommunications engineering from the University of Genoa, Genoa, Italy, in 2012, where he is currently working toward the Ph.D. degree in telecommunications and electronic engineering at DITEN. His research interests span aspects of signal and image processing and pattern recognition for remote sensing and industrial applications. His activity is in collaboration with the Acoustics, Antenna Arrays, and Underwater Signals Lab of DITEN.


Ihsen Hedhli

Ihsen Hedhli

Former Ph.D. Student
ihsen.hedhli@edu.unige.it

Ihsen Hedhli received the Bachelor's degree in engineering and the Master's degree in signal and image processing from the Ecole Nationale des Sciences de l'Informatique, Tunis, Tunisia, in 2011, and his Ph.D. in monitoring of systems and environmental risk management in 2016 from the University of Genoa and the University of Nice Sophia Antipolis, France, under a cotutelle program and in collaboration with INRIA. His main research interests include multimodal image processing and Markov random field techniques.

A Few Projects

International Scientific Collaborations

Teaching

Dr. Moser is currently the teacher of two courses at the Savona Campus:

For more info on contents, bibliography, and lecture notes log into AulaWeb.

Publications

For a list of the latest journal papers, visit here the IRIS data base.

Contacts

Dr. Gabriele Moser
Savona University Campus, Via Magliotto 2, 17100 Savona, Italy
gabriele.moser@unige.it
Phone: +39 019 219 45135
Fax: +39 010 353 2134